Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A fertility monitoring system for monitoring fertility of a user, the system comprising: a clinical device, the clinical device comprising: a body comprising a tip adapted for comfortable insertion into the mouth of a patient; a first sensor located in the body, said first sensor adapted to measure temperature; a second sensor located in the body, the second sensor adapted to make a second measurement of the user; a transmitter, wherein the transmitter is configured to wirelessly send information from the clinical device; and a processor disposed within the body and being operable to receive a temperature signal and a second measurement signal from the temperature sensor and the second sensor, respectively, and to calculate a temperature value and a second measurement value of the user based on said received temperature signal and second measurement signal, respectively, and a computerized device adapted to wirelessly receive information from the clinical device and operable to determine a level of fertility based on at least said temperature value and said second measurement value.
A fertility monitoring system tracks a user's fertility by using a clinical device with a body shaped for mouth insertion. The device contains a temperature sensor and a second sensor for another measurement. A transmitter wirelessly sends data to a computerized device. A processor inside the clinical device calculates temperature and a second measurement value based on signals from the sensors. The computerized device receives this data and determines the user's fertility level based on at least the temperature and the second measurement value.
2. The system of claim 1 , wherein the temperature sensor is an infrared sensor, and the clinical device further includes a spacer to create a distance between the second sensor and an inside location of the mouth.
The fertility monitoring system from the previous description where the temperature sensor is an infrared sensor. The clinical device includes a spacer to keep the second sensor at a distance from the inside of the mouth. This implies that the second sensor is also located within the mouth.
3. The system of claim 1 , further comprising a server, and wherein the server is operable to accept a first data of the user, and wherein the server further comprises a database, and the database having the first data stored thereon.
The fertility monitoring system further includes a server that accepts and stores user data in a database. This allows for the collection and storage of user-specific information relevant to fertility monitoring. The server provides a central repository for data used in fertility calculations.
4. The system of claim 3 wherein the computing device is operable to communicate with the server and to determine the level of fertility based on at least the first data.
The fertility monitoring system, which includes a server with a database storing user data, allows the computing device to communicate with the server. The computing device then determines the level of fertility based on at least the data stored on the server. This implies that the user data stored on the server is used in conjunction with the clinical device measurements to determine the fertility level.
5. The system of claim 4 wherein the computing device is operable to determine the level of fertility based on a combination of age and cycle length range data.
The fertility monitoring system where the computing device determines the level of fertility using a combination of age and cycle length range data along with data from the clinical device. This indicates that demographic and menstrual cycle information are incorporated into the fertility assessment.
6. The system of claim 5 wherein the server is operable to receive a plurality of first data from a plurality of users and to store said plurality of first data on said database, thereby creating a set of aggregated data of multiple users.
The fertility monitoring system, with a server and database, is expanded to receive and store data from multiple users, creating an aggregated dataset. This means the database contains information from many individuals, enabling analysis and potentially improving accuracy through population-level insights.
7. The system of claim 6 where the computerized device is operable to compute a time estimate for the onset of menopause corresponding to the user based on data from a plurality of users and the first data of the user.
In the fertility monitoring system where the server stores data from multiple users, the computerized device can compute a time estimate for the user's onset of menopause. This calculation is based on data from other users combined with the user's own data, leveraging the aggregated dataset to provide a personalized prediction.
8. The system of claim 1 wherein the computerized device is operable to determine time zone, and adjust the temperature value based on the time zone.
The fertility monitoring system is able to determine the current time zone and adjust the temperature value accordingly before determining the fertility level. This adjustment accounts for potential variations in body temperature due to circadian rhythms and travel across time zones.
9. The system of claim 1 wherein the second sensor is an electrical resistivity sensor.
In the fertility monitoring system, the second sensor (besides the temperature sensor) is an electrical resistivity sensor. This implies that the system measures the electrical resistance of a bodily fluid (e.g., saliva or cervical fluid) to gain additional information related to fertility.
10. The system of claim 9 wherein the computing device is operable to identify changes in the temperature value over a time period, and to identify changes in the resistivity value over the time period.
In the fertility monitoring system that includes both a temperature sensor and an electrical resistivity sensor, the computing device is programmed to identify changes in both temperature and resistivity values over a time period. This analysis of trends and patterns provides more detailed fertility information than single point measurements.
11. The system of claim 10 wherein the computing device is operable to determine a temperature value range and resistivity value range over the time period.
The fertility monitoring system with temperature and resistivity sensors goes further to determine a temperature value range and resistivity value range over a specific period. This likely provides more robust insights than individual data points, and would reduce sensitivity to individual erroneous measurements.
12. The system of claim 11 wherein the computing device is operable to determine an ovulation time window based on temperature value range, and the resistivity value range.
The fertility monitoring system uses the temperature and resistivity value ranges to determine an ovulation time window. This implies that changes in both temperature and resistivity, over time, are used to identify the period when ovulation is most likely to occur.
13. The system of claim 1 wherein the clinical device comprises an alarm.
The clinical device of the fertility monitoring system includes an alarm to notify the user. This alarm could be used to signal fertile days, measurement reminders, or other relevant events related to the user's fertility.
14. The system of claim 1 further comprising at least one of following selected from the group consisting of a sound source, a light source, and a haptic technology.
The clinical device incorporates at least one of the following: a sound source, a light source, or haptic feedback (vibration). These elements provide alternative sensory feedback to the user beyond simple temperature readings, potentially for alerts or status indications.
15. The system of claim 14 wherein said clinical device is operable to provide at least one reward output indicative of the user's status, rate of completion of measurements, and the accuracy of her fertility predictions.
The clinical device provides a reward output, using sound, light, or haptic feedback, to indicate the user's status, measurement completion rate, or the accuracy of her fertility predictions. This feedback mechanism serves as encouragement and provides insight into the effectiveness of the monitoring process.
16. The system of claim 1 wherein the computerized device is operable to determine whether to request an ancillary input from the user.
The computerized device can determine whether to request additional information (ancillary input) from the user. This allows the system to gather more context-specific data to refine its fertility assessment.
17. The system of claim 16 wherein the ancillary input is a measurement selected from the group of a skin temperature, vaginal temperature, cervical fluid electrical resistivity, and hormone.
The ancillary input requested from the user can be a measurement of skin temperature, vaginal temperature, cervical fluid electrical resistivity, or hormone levels. This demonstrates the system's flexibility in incorporating different types of data to improve accuracy.
18. A fertility monitoring system for monitoring fertility of a user, the system comprising: a clinical device, the clinical device comprising: a body adapted to enter a natural orifice of a patient; a first sensor located in the body, said first sensor adapted to measure temperature; a second sensor located in the body, the second sensor adapted to make a second measurement of the user; a transmitter, wherein the transmitter is configured to wirelessly send information from the clinical device; and a processor disposed within the body and being operable to receive a temperature signal and a second measurement signal from the temperature sensor and the second sensor respectively and to calculate a temperature value and a second measurement value of the user based on said received temperature signal and second measurement signal respectively; and a computerized device adapted to wirelessly receive information from the clinical device and operable to determine a level of fertility based on at least said temperature value and said second measurement value, wherein the computerized device is operable to calculate at least one of an follicular phase length and a luteal phase length based on age.
The fertility monitoring system has a clinical device designed to enter a natural orifice of the patient. It measures temperature with a sensor and makes a second measurement with another sensor. The information is wirelessly sent to a computerized device to determine fertility, and the computer calculates the follicular phase length and/or luteal phase length, which are menstrual cycle phases, based on age.
19. The system of claim 18 wherein at least one of the clinical device and the computerized device is operable to predict a subsequent fertile window based on at least one of the follicular and luteal phase lengths wherein said at least one of the clinical and the computerized device is further operable to perform the following: a) determine a predictive interval of the phase lengths; b) compute the user's subsequent phase length; c) determine a level of confidence corresponding to that predictive interval; and d) update subsequent prediction interval and said level of confidence based on actual phase length data.
The fertility monitoring system calculates follicular and luteal phase lengths. Either the clinical device or the computerized device predicts the subsequent fertile window based on these phase lengths. The device: (a) determines a predictive interval of the phase lengths; (b) computes the user's subsequent phase length; (c) determines a level of confidence corresponding to that predictive interval; and (d) updates subsequent prediction interval and said level of confidence based on actual phase length data. The prediction learns from the data.
20. A fertility monitoring method comprising: inserting a clinical device into the mouth of a user, wherein the clinical device has a probe tip construction for comfortable insertion into the mouth of the user; receiving first temperature data from a temperature sensor on the clinical device inserted into an orifice of a user; receiving first electrical resistivity data of the user from a resistivity sensor on the clinical device; receiving at least one patient data input from the user; sending the first temperature data and the first resistivity data to a processor; determining whether to request an ancillary input from the user; and computing automatically on the processor a level of fertility based on the first temperature data, the first electrical resistivity data, the ancillary input if requested and received, and the at least one user input.
A fertility monitoring method involves inserting a clinical device with a comfortable tip into the user's mouth. The method includes receiving temperature and electrical resistivity data from the device's sensors, receiving patient data from the user, sending the temperature and resistivity data to a processor, and determining whether to request additional input from the user. The level of fertility is then automatically calculated by the processor based on temperature, resistivity, any requested ancillary input, and the user's input.
21. The method of claim 20 wherein the sending step comprises wirelessly transmitting the first temperature data and the first electrical resistivity data to a portable computing device.
The fertility monitoring method where sending the first temperature data and the first electrical resistivity data to a processor involves wirelessly transmitting the data to a portable computing device. This emphasizes the wireless communication aspect of the system.
22. The method of claim 20 wherein the processor is in a portable computing device, said computing device being external to the clinical device.
In the fertility monitoring method, the processor is located within a portable computing device external to the clinical device. This highlights the separation of the sensor device from the processing unit, which is likely a smartphone or similar device.
23. The method of claim 20 further comprising displaying the level of fertility.
The fertility monitoring method includes displaying the calculated level of fertility to the user. This ensures that the user receives clear and immediate feedback on her fertility status.
24. The method of claim 20 further comprising alerting the user based on the level of fertility.
The fertility monitoring method also involves alerting the user based on the calculated fertility level. This alert system can notify the user of fertile windows or other important information related to their cycle.
25. The method of claim 20 wherein the at least one patient input comprises one input selected from the group consisting of age, weight, date of last period, and length of menstrual cycles.
The fertility monitoring method where the patient input includes one of the following: age, weight, date of last period, or length of menstrual cycles. These data points are important contextual information for improving the accuracy of fertility predictions.
26. The method of claim 20 wherein the ancillary input is a measurement selected from the group of a skin temperature, vaginal temperature, cervical fluid electrical resistivity, and hormone.
The ancillary input requested in the fertility monitoring method is a measurement selected from skin temperature, vaginal temperature, cervical fluid electrical resistivity, or hormone levels. This provides a range of options for the user to provide additional data to improve the fertility assessment.
27. The method of claim 26 further comprising calculating at least one of an follicular phase length and a luteal phase length based on age.
The fertility monitoring method further includes calculating the follicular phase length or the luteal phase length (or both) based on the user's age. This shows that demographic information is used to refine the understanding of the user's cycle.
28. The method of claim 27 further comprising predicting a subsequent fertile window based on at least one of the follicular phase length and the luteal phase length.
The fertility monitoring method builds upon calculating the follicular and luteal phase lengths by predicting the subsequent fertile window based on these lengths. This prediction is the ultimate goal of the monitoring system, providing actionable information to the user.
29. The method of claim 20 further comprising providing at least one reward output selected from the group consisting of a sound source, a light, source and a haptic technology indicative of at least one of the user's status, rate of completion of measurements, and the accuracy of her fertility predictions.
This invention relates to a method for enhancing user engagement and feedback in a fertility tracking system. The method involves providing real-time rewards to a user based on their interaction with the system, specifically their status, progress in completing measurements, and the accuracy of fertility predictions. The rewards are delivered through at least one of three output modalities: sound, light, or haptic feedback. For example, a sound source may emit a tone or voice prompt to confirm a measurement has been recorded, while a light source could illuminate to indicate a successful data entry. Haptic technology, such as vibrations, may be used to signal the completion of a measurement or to alert the user of a high-accuracy prediction. The method ensures users receive immediate, tangible feedback, improving motivation and adherence to the tracking process. The system may also adjust the frequency or type of rewards based on user performance, such as increasing haptic feedback for faster measurement completion or using a light source to highlight prediction accuracy. This approach enhances user experience by making the tracking process more interactive and rewarding, ultimately improving data reliability and user retention.
30. The method of claim 20 further comprising detecting a time zone and adjusting the fertility computation based on the time zone.
The fertility monitoring method detects the current time zone and adjusts the fertility computation accordingly. This ensures accurate tracking regardless of the user's location or travel schedule.
31. The method of claim 20 wherein the data input is received by a server, and the server is in communication with the portable computing device.
The fertility monitoring method sends the user input data to a server which communicates with the portable computing device that does the processing. This means the initial data is sent to a remote server before being used for computations on the portable device.
32. The method of claim 31 further comprising requesting the ancillary input from the user by displaying said request on said portable computing device subsequent to receiving the first temperature data and the first resistivity data.
In the fertility monitoring method where the data is sent to a server, the ancillary input request is displayed on the portable computing device after the initial temperature and resistivity data are received. This ensures that the user is prompted for additional information only after the initial measurements are taken.
33. The method of claim 30 wherein the computing device is a device selected from the group consisting of a smart phone, PDA, tablet, watch, and laptop.
In the fertility monitoring method, the computing device is a smartphone, PDA, tablet, watch, or laptop. This illustrates the range of devices that can be used to process and display the fertility information.
34. A method of claim 32 wherein the server is operable to search the data for patterns.
The server in the fertility monitoring method, after receiving and storing user data, is programmed to search the data for patterns. This is a crucial step towards identifying trends and relationships within the data that can be used to improve fertility predictions.
35. The method of claim 34 wherein the server is further operable to make predictions about fertility based on the patterns.
The server, which searches data for patterns, then makes predictions about fertility based on those patterns. This highlights the predictive capabilities of the system, leveraging data analysis to provide insights to the user.
36. The method of claim 35 wherein the predictions about fertility comprises a time estimate for the onset of menopause.
The predictions about fertility made by the server includes a time estimate for the onset of menopause. This is a long-term prediction that can be valuable for women planning their reproductive health.
Unknown
September 16, 2014
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